TC1 Label Space.
The first visualization challenge comes from the large number of labels.
Data for large label spaces is collected only on the domains of labels, sensitive attributes, and metrics.
While almost all of these data domains are relatively low-dimensional (1 to 10s), the dimensionality of the labels is in the thousands [1]}, [2]}.
We, thus, face the challenge of operating on a large number of labels, all of which can expose problematic bias.
Therefore, our visual representation needs to provide an overview over all labels, but also provide means to discover labels of interest.
This problem has not been of major concern for more limited label spaces and associated visualization approaches.
